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Signals & imaging · Tomographic reconstruction

Tomographic reconstruction

How can projections recover an image?

Project account · methods and observations from my study and research notes.

01 / The question

How can projections recover an image?

Tomography reconstructs spatial information from projections. This project implemented and compared reconstruction methods on a Shepp–Logan phantom.

Image → representation → decision
Conceptual illustration of the approach

02 / The intuition

A mechanism worth testing.

Use a known test object to see what a reconstruction method preserves and what it distorts.

03 / The work

Inside the method.

Explore each part of the approach.

01Form the projection view

Radon-transform and Fourier-slice concepts connected the object to its angular projections.

02Reconstruct

Fourier-based reconstruction and filtered backprojection provided different computational routes.

03Compare outputs

Image-quality metrics and visual comparisons assessed the reconstructed phantom.

04 / The observations

What emerged.

The notes describe implementation and comparative validation on a known phantom, not clinical patient reconstruction performance.

This account is based on recorded project notes. Original reports, figures and datasets are not embedded here.

05 / The limits

Where the evidence stops.

Projection sampling, interpolation and filtering influence the result. The original phantom outputs and metric implementation are needed for quantitative comparisons.

The academic foundations

Where this work connects.

Programming & computational methodsSignal & image processingMathematics & statistics
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